7 papers
Learning Asynchronous Upper-body Task-space Trajectory Tracking Policy for Humanoid Robots
Yumeng Liu, Dongqi Wang, Jiyu Yu +3
High-level humanoid planners often output sparse task-space, low-rate trajectories, whereas whole-body controllers run at high frequency. This creates temporal asynchrony between t…
G2G: Exploiting Intra-Group Geometry for Inter-Group Pose Estimation
Yufei Wei, Shuhao Ye, Chenxiao Hu +5
Recovering the relative 6-DoF pose between two image groups underlies cross-sequence relocalization and multi-camera rig odometry. Each group carries known intra-group geometry fro…
UniMM: A Unified Mixture Model Framework for Multi-Agent Simulation
Longzhong Lin, Xuewu Lin, Kechun Xu +4
Simulation plays a crucial role in assessing autonomous driving systems, where the generation of realistic multi-agent behaviors is a key aspect. In multi-agent simulation, the pri…
Neural Ranging Inertial Odometry
Si Wang, Bingqi Shen, Fei Wang +3
Ultra-wideband (UWB) has shown promising potential in GPS-denied localization thanks to its lightweight and drift-free characteristics, while the accuracy is limited in real scenar…
A Whole-Body Motion Imitation Framework from Human Data for Full-Size Humanoid Robot
Zhenghan Chen, Haodong Zhang, Dongqi Wang +4
Motion imitation is a pivotal and effective approach for humanoid robots to achieve a more diverse range of complex and expressive movements, making their performances more human-l…
Natural Humanoid Robot Locomotion with Generative Motion Prior
Haodong Zhang, Liang Zhang, Zhenghan Chen +3
Natural and lifelike locomotion remains a fundamental challenge for humanoid robots to interact with human society. However, previous methods either neglect motion naturalness or r…